Triple

T7581842
Position Surface form Disambiguated ID Type / Status
Subject Northern Hemisphere ice sheets E179505 entity
Predicate coveredAreaAtMaximum P58710 FINISHED
Object tens of millions of square kilometers LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: tens of millions of square kilometers | Statement: [Northern Hemisphere ice sheets, coveredAreaAtMaximum, tens of millions of square kilometers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: coveredAreaAtMaximum
Context triple: [Northern Hemisphere ice sheets, coveredAreaAtMaximum, tens of millions of square kilometers]
  • A. coveredArea
    Indicates that one entity occupies or extends over a specific spatial region or surface area associated with another entity.
  • B. representedArea
    Indicates that one entity serves as a representation or depiction of a particular area or region.
  • C. hasLargestAreaOf
    Indicates that the subject entity possesses the greatest area (size of surface or region) compared to the other entities in the specified set or context.
  • D. mayCoverArea
    Indicates that one entity is permitted or able to extend over, include, or encompass a specified spatial area.
  • E. hasAreaTotal chosen
    Indicates the total surface area associated with an entity, typically measured over its entire extent.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c69f327db881909a21ae3b156f8ded completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f978341081909e009c410ffc5039 completed March 27, 2026, 9:41 p.m.
PD Predicate disambiguation batch_69c6f4e04c2c8190a889d928515d9b8e completed March 27, 2026, 9:21 p.m.
Created at: March 27, 2026, 3:52 p.m.